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Python Algorithmic Trading Cookbook

You're reading from   Python Algorithmic Trading Cookbook All the recipes you need to implement your own algorithmic trading strategies in Python

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781838989354
Length 542 pages
Edition 1st Edition
Languages
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Author (1):
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Pushpak Dagade Pushpak Dagade
Author Profile Icon Pushpak Dagade
Pushpak Dagade
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Toc

Table of Contents (16) Chapters Close

Preface 1. Handling and Manipulating Date, Time, and Time Series Data 2. Stock Markets - Primer on Trading FREE CHAPTER 3. Fetching Financial Data 4. Computing Candlesticks and Historical Data 5. Computing and Plotting Technical Indicators 6. Placing Regular Orders on the Exchange 7. Placing Bracket and Cover Orders on the Exchange 8. Algorithmic Trading Strategies - Coding Step by Step 9. Algorithmic Trading - Backtesting 10. Algorithmic Trading - Paper Trading 11. Algorithmic Trading - Real Trading 12. Other Books You May Enjoy Appendix I
1. Appendix II
2. Appendix III

MACD–Bracket–Order strategy fetching a real trading report profit and loss table

After submitting a real trading job on the AlgoBulls platform, the AlgoBulls real trading engine starts executing the strategy. During its execution, along with the logs, the AlgoBulls real trading engine also generates a P&L table in real time. This table holds information on every trade punched in by the strategy. It also contains details on the mappings between entry and exit orders, the trade P&L, and the cumulative P&L, sorted chronologically, with the latest order first. This table gives us insight into the strategy's overall performance with the help of individual and cumulative P&L numbers. The entry-exit order mapping also helps validate the strategy's behavior.

In this recipe, you will fetch the P&L table report for your strategy. This report is available as soon as the first trade is punched in by your strategy after you submit a real...

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